Triple
T22810799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Barron et l'éternité |
E564665
|
entity |
| Predicate | a pour cadre |
P62244
|
FINISHED |
| Object | société américaine futur proche |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: société américaine futur proche | Statement: [Jack Barron et l'éternité, a pour cadre, société américaine futur proche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: a pour cadre Context triple: [Jack Barron et l'éternité, a pour cadre, société américaine futur proche]
-
A.
framed
Indicates that one entity has been falsely presented or set up to appear responsible or guilty for an action or situation, typically to mislead others.
-
B.
airframer
Indicates a relationship where a company designs, manufactures, or assembles aircraft as its primary aerospace activity.
-
C.
portée
Indicates that one entity carries, bears, or supports another entity physically or figuratively.
-
D.
frame
chosen
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
E.
framedBy
Indicates that one entity serves as a surrounding boundary or enclosing structure that visually or conceptually frames another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.